Data Scientist, Data Analyst

Keng-chu (Ken) Lin

Los Angeles, CA 626-***-**** ****-***.***.****@********.***.***

SUMMARY

Award-winning equity analyst with solid engineering background looking to work as a data analyst/scientist focusing on machine learning

BUSINESS EXPERIENCE

SinoPac Securities – Taipei, Taiwan Oct 2007 – Jun 2014

Sell-Side Senior Equity Analyst

Made forecasts and recommendations through data analysis on companies in Taiwan tech sector; became the analyst with the largest trading volume in SinoPac in 2012 and 2013, driving 10+% of revenue growth each year

Presented, prepared data visualization to participate in roadshows to Europe, SE Asia with long fund managers, helping sales team to expand client base by 20%

Selected as Taiwan top 5 analysts by Bloomberg three times; promoted to Sr. Analyst based on excellence in capturing industy trends, writing equity reports with strong logical reasoning

Wistron Corporation – Taipei Taiwan May 2006 – Sep 2007

Hardware Engineer

Built first smartphone RF circuit for Wistron; this R&D project eventually led Wistron to win iPhone orders as a new supplier

Set up Wistron’s first RF conformance test SOP, helping to reduce testing time by 30%

Responsible for monitoring production line and making sure Six Sigma methods were followed to meet company’s goal of creating data-driven culture

EDUCATION

University of Southern California, Marshall School of Business – Los Angeles, CA May 2017

Master of Science, Business Analytics GPA 3.72

Membership: Marshall Data Analytics Club

University of Southern California, Viterbi School of Engineering – Los Angeles, CA Dec 2005

Master of Science, Electrical Engineering GPA 3.7

University of British Columbia – Vancouver, Canada Jun 2004

Bachelor of Science, Electrical Engineering GPA 3.75

Honors: Dean’s Honor List, Undergraduate Scholarship Program, Golden Key Honor Society

SKILLS AND INTERESTS

Programming: Data cleaning (R: dplyr, stringr, lubridate), web scraping (R: rvest, xml), Big Data (R: SparklyR)

Visualization: Capture trends and unusual behavior (R: ggplot2, ggviz, tableau, plotly), spatial visualization (R: ggmap)

Dashboard: Tableau, R: Shiny

Modeling: Supervised learning methods (linear regression, logistic regression, lasso, decision

trees, random forests, svm), unsupervised learning methods (kmeans, hierarchical

clustering)

Optimization: Linear, non-linear, discrete and dynamic optimization

Data Tool: R, SAS, Python, SQL, JMP, exel, Hadoop, Spark, Hive

Specialization: Marketing analytics, fraud analytics, operations analytics, time-series analysis, sales

Language: English, Mandarin, Taiwanese, Cantonese

LEADERSHIP

Leading technology analyst, Sinopac Securities (2012 and 2013)

Leading coder, USC Fraud Analytics semester project (2016)

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